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Assessing mortality differences across acute respiratory failure management strategies in Covid-19.
Krishnan, Jamuna K; Rajan, Mangala; Baer, Benjamin R; Hoffman, Katherine L; Alshak, Mark N; Aronson, Kerri I; Goyal, Parag; Ezeomah, Chiomah; Hill, Shanna S; Martinez, Fernando J; Turetz, Meredith L; Wells, Martin T; Safford, Monika M; Schenck, Edward J.
  • Krishnan JK; Divison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America. Electronic address: jkk9002@med.cornell.edu.
  • Rajan M; Division of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Baer BR; Department of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America.
  • Hoffman KL; Division of Biostatistics and Epidemiology, Weill Cornell Medicine, NY, NY, United States of America.
  • Alshak MN; Division of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Aronson KI; Divison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Goyal P; Division of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America; Division of Cardiology, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Ezeomah C; Division of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Hill SS; Department of Anesthesiology, Weill Cornell Medicine, NY, NY, United States of America.
  • Martinez FJ; Divison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Turetz ML; Divison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Wells MT; Department of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America; Department of Population Health Sciences, Weill Cornell Medicine, NY, NY, United States of America.
  • Safford MM; Division of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
  • Schenck EJ; Divison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
J Crit Care ; 70: 154045, 2022 08.
Article in English | MEDLINE | ID: covidwho-1814672
ABSTRACT

PURPOSE:

Prolonged observation could avoid invasive mechanical ventilation (IMV) and related risks in patients with Covid-19 acute respiratory failure (ARF) compared to initiating early IMV. We aimed to determine the association between ARF management strategy and in-hospital mortality. MATERIALS AND

METHODS:

Patients in the Weill Cornell Covid-19 registry who developed ARF between March 5 - March 25, 2020 were exposed to an early IMV strategy; between March 26 - April 1, 2020 to an intermediate strategy; and after April 2 to prolonged observation. Cox proportional hazards regression was used to model in-hospital mortality and test an interaction between ARF management strategy and modified sequential organ failure assessment (mSOFA).

RESULTS:

Among 632 patients with ARF, 24% of patients in the early IMV strategy died versus 28% in prolonged observation. At lower mSOFA, prolonged observation was associated with lower mortality compared to early IMV (at mSOFA = 0, HR 0.16 [95% CI 0.04-0.57]). Mortality risk increased in the prolonged observation strategy group with each point increase in mSOFA score (HR 1.29 [95% CI 1.10-1.51], p = 0.002).

CONCLUSION:

In Covid-19 ARF, prolonged observation was associated with a mortality benefit at lower mSOFA scores, and increased mortality at higher mSOFA scores compared to early IMV.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Distress Syndrome / Respiratory Insufficiency / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: J Crit Care Journal subject: Critical Care Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Distress Syndrome / Respiratory Insufficiency / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: J Crit Care Journal subject: Critical Care Year: 2022 Document Type: Article